Entanglement distribution can be more efficient in series-parallel topologies

Yaqi Zhao of Xi’an University of Technology and colleagues propose a new framework for distributing entanglement, a necessary component for scalable quantum networks. The work addresses a key limitation of current designs, which typically rely on either discrete or continuous variable encoding, hindering interoperability between quantum devices. Researchers demonstrate a hybrid approach mapping entanglement swapping and concentration onto series and parallel graph rules, achieving enhanced end-to-end entanglement within these topologies. These results lay a theoretical foundation for building resource-efficient architectures for the future quantum internet. Scalable quantum networks rely on efficient entanglement distribution, and a new framework addresses limitations inherent in systems exclusively using discrete or continuous variable encoding. This approach aims to overcome capacity and interoperability issues that plague large-scale quantum systems. The researchers detail a reduction strategy for hybrid quantum networks, outlining protocols for both series and parallel configurations. The series protocol focuses on hybrid swapping, while the parallel configuration uses a hybrid concentration protocol. Any series-parallel network can be broken down into combinations of these sub-networks, allowing for iterative application…